Junior Space Perception & Autonomy Engineer

trueanomalyinc; Denver (CO); On-site; USD 48,000 - 72,000; Full time

Job summary

True Anomaly seeks talent to build autonomous spacecraft, payloads, mission software, and space-based interceptors. You\'ll work on hybrid perception systems, fusing classical vision with modern deep learning for autonomous spacecraft and multi-object tracking under tight compute constraints.

This entry-level role blends traditional robotics with ML: implement Extended Kalman Filters, train PyTorch models, write C++ flight code, and deploy algorithms on space-qualified edge hardware.

Qualifications

• Pursuing or recently completed degree in a technical field with exposure to computer vision and estimation theory.

Responsibilities

• Implement Extended Kalman Filters for state estimation and data association.
• Train neural networks for object detection and classification using PyTorch.
• Build hybrid perception pipelines: detections → tracking → coordinate transformations → angle measurements.
• Develop image processing chains (thresholding, centroiding, component analysis).
• Deploy models to edge hardware (quantization, inference with ONNX/TensorRT).
• Implement coordinate transformations across pixel, camera, body, and Earth-centered inertial frames.
• Generate synthetic data via Blender for domain randomization and rare scenarios.
• Validate end-to-end performance with software-in-the-loop and hardware-in-the-loop tests.

Skills

Python

C++

Deep learning

Kalman filters

Coordinate transforms

Reading research papers

Debugging

Eagerness to learn

Education

Bachelor's or Master's degree in CS/EE/Robotics/Aerospace

Tools

PyTorch

TensorRT

ONNX Runtime

OpenCV

Blender

Job description

True Anomaly seeks talent to build autonomous spacecraft, payloads, mission software, and space-based interceptors. You\'ll work on hybrid perception systems, fusing classical vision with modern deep learning for autonomous spacecraft and multi-object tracking under tight compute constraints.

This entry-level role blends traditional robotics with ML: implement Extended Kalman Filters, train PyTorch models, write C++ flight code, and deploy algorithms on space-qualified edge hardware.